Google Pixel 8a
Geekbench AI Score
370
Single Precision Score
3755
Half Precision Score
4866
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | August 29 2024 11:37 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Google Pixel 8a |
| Model ID | Google Pixel 8a |
| Motherboard | akita |
| Governor | sched_pixel |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 9 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3406 revision 0 |
| Base Frequency | 1.70 GHz |
| Cluster 1 | 4 Cores @ 1.70 GHz |
| Cluster 2 | 4 Cores @ 2.37 GHz |
| Cluster 3 | 1 Core @ 2.91 GHz |
| Memory Information | |
|---|---|
| Size | 7.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
236
43.8 IPS |
|
|
Image Classification (HP)
|
100% |
2905
540.3 IPS |
|
|
Image Classification (Q)
|
99% |
4351
811.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
298
4.82 IPS |
|
|
Image Segmentation (HP)
|
100% |
6573
106.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
14167
230.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
361
0.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
23994
28.0 IPS |
|
|
Pose Estimation (Q)
|
97% |
48226
56.5 IPS |
|
|
Object Detection (SP)
|
100% |
221
17.5 IPS |
|
|
Object Detection (HP)
|
100% |
3721
295.1 IPS |
|
|
Object Detection (Q)
|
90% |
5401
431.8 IPS |
|
|
Face Detection (SP)
|
100% |
531
6.31 IPS |
|
|
Face Detection (HP)
|
100% |
15368
182.6 IPS |
|
|
Face Detection (Q)
|
97% |
22724
270.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
478
3.68 IPS |
|
|
Depth Estimation (HP)
|
99% |
24000
184.9 IPS |
|
|
Depth Estimation (Q)
|
70% |
34715
292.4 IPS |
|
|
Style Transfer (SP)
|
100% |
701
0.90 IPS |
|
|
Style Transfer (HP)
|
100% |
713
0.92 IPS |
|
|
Style Transfer (Q)
|
27% |
176
3.64 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
273
10.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6988
258.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
11991
444.3 IPS |
|
|
Text Classification (SP)
|
100% |
337
449.9 IPS |
|
|
Text Classification (HP)
|
100% |
353
471.5 IPS |
|
|
Text Classification (Q)
|
92% |
852
1.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
528
9.09 IPS |
|
|
Machine Translation (HP)
|
100% |
504
8.68 IPS |
|
|
Machine Translation (Q)
|
57% |
327
7.98 IPS |
